Martin Mundt
Full Professor at University of Bremen
Bremen, Bremen, Germany
Summary
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Senior🎓
Top SchoolMartin Mundt is a Full Professor and leader in continual and open-world lifelong machine learning with nine years of research experience bridging physics, computational neuroscience, and deep learning. He heads the OWL-ML group and has led independent research at TU Darmstadt and hessian.AI while serving on the board of the non-profit ContinualAI, reflecting strong community and interdisciplinary engagement. His background—MSc in Physics and a PhD in Computer Science—drives a rigorous, cross-disciplinary approach to robust neural networks and continual learning in computer vision. Known for practical, reproducible research, he has built research demonstrators and taught hands-on ML courses, translating theory into deployable systems. Based in Bremen, he combines academic leadership with active involvement in the broader ML community and a genuine passion for languages that informs collaborative, diverse teams. An under-the-radar strength is his ability to fuse computational neuroscience insights with scalable deep learning methods to tackle open-world robustness.
9 years of coding experience
6 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Goethe University Frankfurt
English, German, Polish, French, Spanish, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (28)
re-identification10
variational-autoencoder10
denoising10
classifiers10
incremental-learning9
google-colaboratory9
replay9
generative-ai9
generative9
jupyter-notebook8
meta-learning8
pattern8
pytorch8
algorithm7
visualization7
Programming languages (5)
Github contributions (5)
MrtnMndt/Deep_Openset_Recognition_through_Uncertainty
Oct 2019 - Feb 2022
PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625
Contributions:7 commits, 1 PR, 4 pushes in 2 years 4 months
classifiersneural-networkpytorch
ccc-frankfurt/Practical_ML_WS19
Oct 2019 - Jan 2020
Contributions:32 commits, 31 pushes in 3 months
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